Q9Z0Y1 AF NFT

Dynactin subunit 3

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie6mgc4p7vixktc4n2rmq7pf2ibf6hsg3zbmwix357lrmzsxrrrq4/metadata.json
IPFS of structure file: 
bafybeihkgvhhvih2c6wrbqojrlnuoxakg2624jg5zohta5x6cuwbo2cepi/AF-Q9Z0Y1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x270E62591AbF98D9aE543aCe3b9CA0493e08E3E2
First NFT owner address (bech32): 
genesis1yu8xykg6h7vdntj58t8rh89qfylq3clzjv5s67
Current NFT ID #91944 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
91944
Accession (UniProt):
Q9Z0Y1
Name::
Dynactin subunit 3
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT Q9Z0Y1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9Z0Y1|DCTN3_MOUSE Dynactin subunit 3 OS=Mus musculus OX=10090 GN=Dctn3 PE=1 SV=2 MAALTDVQRLQSRVEELERWVYGPGGTRGSRKVADGLVKVQVALGNIASKRERVKILYKKIEDLIKYLDPEYIDRIAIPEASKLQFILAEEQFILSQVALLEQVNALVPVLDSASIKAVPEHAARLQRLAQIHIQQQDQCVAITEESKALLEGYNKTTMLLSKQFVQWDELLCQLEAAKQVKPAEE